Classification of Normal and Pathological Voice Using SVM and RBFNN

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Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481

Website: https://www.scirp.org/journal/jsip
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Citations h5-index & Ranking

Submission

"Classification of Normal and Pathological Voice Using SVM and RBFNN"
written by V. Sellam, J. Jagadeesan,
published by Journal of Signal and Information Processing, Vol.5 No.1, 2014

has been cited by the following article(s):

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[1]	Detecção de patologias laríngeas por meio da análise de sinais de voz utilizando Deep Neural Networks
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[2]	Voice Signal Analysis with the Application in Biomedicine
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[3]	A Survey on Signal Processing Based Pathological Voice Detection Techniques
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[4]	Prediction of Specific Language Impairment in Children Using Speech Linear Predictive Coding Coefficients
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[5]	A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms
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[6]	Vocal Acoustic Analysis: ANN Versos SVM in Classification of Dysphonic Voices and Vocal Cords Paralysis
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[7]	Glottal Signal Analysis for Voice Pathology
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[8]	Voice Feature Analysis for Early Detection of Voice Disability in Children
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[9]	Investigation of glottal flow parameters for voice pathology detection on SVD and MEEI databases
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[10]	A Preliminary Receiver Operating Characteristic Analysis on Voice Handicap Index Results of the Greek Voice-Disordered Patients
	2018

[11]	Synthesis of pathological voices and experiments on the effect of jitter and shimmer in voice quality perception
	2017

[12]	Vocal Acoustic Analysis–Classification of Dysphonic Voices with Artificial Neural Networks
	Procedia Computer Science, 2017

[13]	Recent Survey on Feature Extraction Methods for Voice Pathology and Voice Disorder
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[14]	云端融合的神经系统疾病多通道辅助诊断研究
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[15]	Cancer larynx detection using glottal flow parameters and statistical tools
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[16]	An incremental method combining density clustering and support vector machines for voice pathology detection
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[17]	Pathological voices detection using Support Vector Machine
	2016

[18]	基于多尺度重采样思想的类指数核函数构造
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[19]	Automatic Control Music Amplifier Using Speech Signal Utilizing by TMS320C6713
	Electronics Symposium (IES), 2015 International, 2015

[20]	Glottal pathology discrimination using ANN and SVM
	Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on, 2015

[21]	Vocal Features for Glottal Pathology Detection using BPNN
	International Journal of Computer Applications, 2015

[22]	Voice signal features analysis and classification: looking for new diseases related parameters
	Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics, 2015

[23]	A Study on Male Voice Mutation
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[24]	A Survey of Machine Learning Based Approaches for Parkinson Disease Prediction
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[1]	Vocal Acoustic Analysis International Journal of E-Health and Medical Communications, 2020 DOI:10.4018/IJEHMC.2020010103

[2]	A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2984925

[3]	An Identity-Based Blind Signature Scheme Using Lattice with Provable Security Mathematical Problems in Engineering, 2020 DOI:10.1155/2020/7528571

[4]	Glottal Signal Analysis for Voice Pathology 2019 2nd International Conference on Innovations in Electronics, Signal Processing and Communication (IESC), 2019 DOI:10.1109/IESPC.2019.8902368

[5]	Investigation of glottal flow parameters for voice pathology detection on SVD and MEEI databases 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2018 DOI:10.1109/ATSIP.2018.8364517

[6]	Vocal Acoustic Analysis – Classification of Dysphonic Voices with Artificial Neural Networks Procedia Computer Science, 2017 DOI:10.1016/j.procs.2017.11.004

[7]	Synthesis of pathological voices and experiments on the effect of jitter and shimmer in voice quality perception 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), 2017 DOI:10.1109/ICEE-B.2017.8192026

[8]	Pathological voices detection using Support Vector Machine 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2016 DOI:10.1109/ATSIP.2016.7523162

[9]	Cancer larynx detection using glottal flow parameters and statistical tools 2016 International Symposium on Signal, Image, Video and Communications (ISIVC), 2016 DOI:10.1109/ISIVC.2016.7893963

[10]	Glottal pathology discrimination using ANN and SVM 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015 DOI:10.1109/ICACCI.2015.7275805

[11]	Automatic Control Music Amplifier Using Speech Signal Utilizing by TMS320C6713 2015 International Electronics Symposium (IES), 2015 DOI:10.1109/ELECSYM.2015.7380834

[12]	Voice signal features analysis and classification Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics - BCB '15, 2015 DOI:10.1145/2808719.2812222

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